"complementarity for" is a correct and usable phrase in written English.
It is typically used to describe how two things or ideas work together to enhance or complete each other. For example: - The complementarity between art and science is essential for innovation in technology. - The policy aims to promote complementarity for economic growth and social development. - The two teams showed great complementarity for a successful collaboration on the project.
In 1927, the year that Heisenberg announced his "uncertainty principle," Niels Bohr also described the "principle of complementarity" for quantum systems: for every measurable quantity there exists a "complementary" measurable quantity.
Theorem (Complementarity for Contradictories).
\(\qed\) Theorem (Complementarity for Contradictories).
We conclude that complementarity for water uptake could occur in this 10-year-old plantation because of inherent differences among functional groups (conifers and broadleaves).
The mixed method we propose has, therefore, led to the successful cross-validation of the results by triangulation and complementarity for a single subject: intensive travellers [8, 58].
For instance, protected industrial and closed economic policies as a mode of economy were important signs of institutional complementarity for the promotion of domestic consumption.
Figure 1 illustrates these complementarities for the elements outlined above, resulting in high internal fit.
The discriminators in Clusters 2 and 3 were the complementarities for the electrostatic potential and the hydrophobicity, respectively.
35 This function indicates the total degree of complementarities for the three surface features over the interfaces.
Many students raised the importance of structural complementarities for the virus capsid assembly process and used various analogies for the ability of macromolecules to fit to one another.
About 20 30% of the genes were predicted by either PA 3.0 or PSORTb 3.0 but not both programs, which shows a significant level of complementarities for two very precise predictors.
